AI adoption is expanding rapidly, but with great power comes great complexity. The rise of AI-driven applications and LLM observability best practices means more teams (i.e., beyond just data scientists) are leveraging AI for critical business operations. However, without AI observability solutions, organizations risk running blind, unable to track AI model performance, troubleshoot issues, or optimize costs effectively.
A recent fireside chat between Google’s Director of AI, Dr. Ali Arsanjani, and Datadog’s VP of Engineering, Sajid Mehmood, emphasized a critical theme: AI observability and performance tracking tools are essential for maintaining AI reliability, transparency, and scalability.
As organizations scale their AI initiatives, many jump straight into building complex, multi-agent systems. But here’s the catch: without mastering foundational AI capabilities (e.g., monitoring AI model performance, retrieval-augmented generation (RAG), and continuous evaluation) these ambitious projects often hit roadblocks.
Mehmood puts it plainly: “The strength of an organization’s cloud observability for AI workloads becomes that much more important.”
Why? Because AI models don’t just need to work; they need to be explainable, auditable, and optimized for efficiency. This is where Datadog for AI monitoring excels. With AI performance tracking tools, full-stack monitoring, and AI cost optimization strategies, organizations can track everything from model response times to GPU utilization.
At Forte Group, we specialize in AI and data engineering. As a Datadog for AI monitoring partner, we help organizations integrate observability in AI-driven applications at every stage of their AI adoption curve.
From fine-tuning models to monitoring AI model performance, we help teams implement AI observability solutions that ensure AI workflows remain transparent and auditable.
AI models can be compute-intensive. With AI cost optimization strategies powered by Datadog, businesses can balance cost efficiency with model performance, ensuring scalability without unnecessary expenditures.
Transparency builds trust. We help organizations implement AI transparency and explainability tools to ensure that AI-generated insights are traceable and grounded in factual data.
Whether you’re experimenting with your first LLM or scaling a multi-agent AI-driven application, Forte Group ensures that your AI initiatives align with your organization’s current capabilities and strategic goals.
The AI landscape is evolving fast, but one thing is clear: organizations that invest in AI reliability and auditability will be the ones that succeed.
At Forte Group, we are committed to helping businesses harness AI while ensuring transparency, reliability, and cost efficiency. If your AI strategy includes Datadog for AI monitoring, Google Cloud, and a push toward enterprise-scale AI observability solutions, we’re the partner you need to make it work—without the guesswork.
🔍 Want to learn more? Get in touch with Forte Group to explore how we can optimize your AI observability with Datadog.